• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
Document
Author
Full name
Fernando Taliberti Pereira de Souza
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2019
Supervisor
Committee
Muglia, Valdair Francisco (President)
Macedo, Tulio Augusto Alves
Júnior, Jorge Elias
Reis, Rodolfo Borges dos
Title in Portuguese
Correlação da espessura gordura periprostática em Ressonância Nuclear Magnética com o prognóstico da neoplasia de próstata
Keywords in Portuguese
Adenocarcinoma de próstata
Gordura periprostática
Neoplasia de próstata
Ressonância magnética multiparamétrica
Abstract in Portuguese
OBJETIVO: Avaliar a relação entre mensurações de gordura (subcutânea e periprostática) realizadas em ressonância magnética, com o prognóstico do paciente portador de câncer de próstata. MATERIAIS E MÉTODOS: A mensuração da gordura periprostática e subcutânea com exame de ressonância magnética com ênfase na próstata foram realizadas em 58 pacientes com o diagnóstico histopatológico de câncer de próstata. Dados demográficos, clínicos e patológicos dos pacientes foram coletados e a correlação com o prognóstico, realizada. RESULTADOS: Na análise univariada, as gorduras periprostática e a subcutânea indicaram serem preditores de evolução desfavorável com significância estatística para o observador 1, no caso da gordura periprostática e para o observador 2 no caso da gordura subcutânea. Na análise multivariada, não houve associação com significância estatística. CONCLUSÃO: A associação entre obesidade e o câncer de próstata é complexa. Os dados obtidos neste estudo indicam que a medida da gordura periprostática, pelas imagens em T2, na RM, podem ser um preditor independente, da evolução desfavorável de pacientes com neoplasia de próstata
Title in English
Correlation of the thickness of periprostatic fat in Magnetic Nuclear Resonance with the prognosis of prostatic neoplasia
Keywords in English
Diagnostic accuracy
Multiparametric
Periprostatic fat
PI-RADS prostate
Prostate MRI
Prostatic carcinoma
Prostatic carcinoma , Diagnostic accuracy
Abstract in English
PURPOSE: Evaluate the relationship between fat measurements (subcutaneous and periprostatic) performed on MRI, with the prognosis of the patient with prostate cancer. MATERIALS AND METHODS: Measurements of periprostatic and subcutaneous fat with magnetic resonance imaging with emphasis on the prostate were performed in 58 patients with the histopathological diagnosis of prostate cancer. Demographic, clinical and pathological data of the patients were collected and the correlation with the prognosis was performed. RESULTS: In the univariate analysis, the periprostatic and subcutaneous fat were predictors of unfavorable evolution with statistical significance for the observer 1, in the case of the periprostatic fat and for the observer 2 in the case of the subcutaneous fat. In the multivariate analysis, there was no association with statistical significance. CONCLUSION: The association between obesity and prostate cancer is complex. The data obtained in this study indicate that the measurement of periprostatic fat by T2-weighted images in MRI may be an independent predictor of the unfavorable evolution of patients with prostate neoplasia
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Publishing Date
2019-08-30
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2020. All rights reserved.